141–150 of 639 posts
I wonder why this problem hasn't been resolved yet, considering we had NLP systems capable of this for a decade now. Maybe it's too hard to scale to production. Or Pagerank is still better most of the time. Or plain old monopoly and risk aversion.
The point of this isn't asking how to apply boolean search operators, it's showing that the largest AI-focused companies in the world absolutely suck at NLP.
Why would you really apply NLP to a search engine though? Generally speaking a weighted keyword search is good enough 95% of the time and requires significantly less resources to perform.
Google have a blog post from October last year with some more complex examples of where more sophisticated NLP helps https://www.blog.google/products/search/search-language-unde...
The point of this isn't asking how to apply boolean search operators, it's showing that the largest AI-focused companies in the world absolutely suck at NLP.
Why would you really apply NLP to a search engine though? Generally speaking a weighted keyword search is good enough 95% of the time and requires significantly less resources to perform.
I have noticed in the past few years google results have become noticeable worse for similar reasons. Google used to _surprise_ me with how good it was able to understand what I was really looking for even when I put in vague terms. I remember being shocked on several occasions when putting in half remembered sentences, lyrics, expressions from something I had heard years ago and it being the first! result. I almost…
I would never search for something this way. If I wanted to find a 4WD car, I wouldn't search for "cars without 2WD." Likewise, here, I would search for solid-colored shirts. And these services are limited to the content/terminology utilized by the cataloged sites/products. If I am selling a "black shirt" or a "solid black shirt," it is not google's job to catalog it as a "shirt without stripes," unless I advertise i…
Your car example makes sense because there are pretty much only 2 options. Unfortunately people don't search for "solid shirts". At best they search for "plain shirts", but there's a lot of taste to clothing that means people often do want a shirt without stripes, but are open to patterned/plain. I think searching "shirts without stripes" is very legitimate in fashion. I say this having built a clothing search functi…
Earlier quoted context omitted.
I'd go as far as saying "AI" is only as good as someone has taken the time to program the use case.
So, it's really just a series of if statements?
https://www.google.com/search?q=plain+shirt https://www.amazon.com/s?k=plain+shirt on edit: https://www.google.com/search?q=shirt+-stripes
The point of this isn't asking how to apply boolean search operators, it's showing that the largest AI-focused companies in the world absolutely suck at NLP.
Why would you really apply NLP to a search engine though? Generally speaking a weighted keyword search is good enough 95% of the time and requires significantly less resources to perform.
So NLP is totally a thing you want to have in search. Arguably, its the whole point of search as it exists now.